BOOKS - PROGRAMMING - Machine Learning and Deep Learning in Natural Language Processi...
US $6.77
428990
428990
Machine Learning and Deep Learning in Natural Language Processing
Author: Anitha S. Pillai and Roberto Tedesco
Year: 2024
Number of pages: 245
Format: PDF
File size: 10.2 MB
Language: ENG
Year: 2024
Number of pages: 245
Format: PDF
File size: 10.2 MB
Language: ENG
Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field. Natural Language Processing (NLP) is a sub-field of Computer Science, information engineering, and Artificial Intelligence (AI) that deals with the computational processing and comprehension of human languages.